Transformative studies in fluid dynamics

Learn about our research

Welcome to the Computational Turbulence Group. We are part of Galcit at Caltech and AeroAstro at MIT


Announcements

Dec 2024: Our paper on “Informative and non-informative decomposition of turbulent flow fields” has been published in the Journal of Fluid Mechanics.

Nov 2024: Our paper “Decomposing causality into its synergistic, unique, and redundant components” was featured in Nature Communications as one of the best 50 papers in Applied physics and mathematics!

Nov 2024: Adrian Anton won the APS/DFD Milton van Dyke Poster Award in APS DFD Gallery of Fluid Motion! You can check the poster here. Congratulations!

Nov 2024: Our lab presented multiple talks at the APS DFD 2024 Meeting in Salt Lake City, UT, sharing the latest advancements in our research. You can check here the abstracts for the talks of Gonzalo Arranz, Julian Powers, Yuan Yuan, Adrián Antón, Tristan Villanueva, Brad Roberts, Rong Ma, Álvaro Martínez-Sánchez and Adrián Lozano-Durán.

Nov 2024: Adrian participated in the Workshop on Coherent Structures for Turbulence Modeling, held at Santa Fe, NM, from November 20-21, 2024.

Nov 2024: Adrian delivered a talk titled “A unified subgrid-scale and wall model for LES trained on building-block flows” at Sandia National Laboratories Seminar (Albuquerque).

Nov 2024: Check our new paper on “Decomposing causality into its synergistic, unique, and redundant components” published in Nature Communications, which has been featured on MIT News and Caltech News.

Oct 2024: Adrian presented his work on "Causality, Reduced-Order Modeling, and Control for Turbulent Flow Using Information Theory" at Stanford Fluid Mechanics Seminar Series.

Sep 2024: Check our paper “Building-block-flow computational model for large-eddy simulation of external aerodynamic applications” published in Communications Engineering.

Aug 2024: Álvaro and Adrián presented their work on “Causality of the energy cascade in isotropic turbulence” and “Building-block-flow model for large-eddy simulation” at the 26th International Congress of Theoretical and Applied Mechanics in Daegu, South Korea.

July 2024: Yuan, Rong, Yuenong, Gonzalo and Adrian attended the Stanford CTR Summer Program with the project “Building-block-flow model for LES of high-speed flows“.

July 2024: Adrian presented his work on “Machine-learning building-block-flow model for large-eddy simulation of high-speed flows with strong heat transfer and wall roughness” at the NASA Langley/Ames EDL Summer Seminar Series.

July 2024: Check our latest conference paper "Building-Block-Flow Model for Large-Eddy Simulation: GPU Implementation and Application to the CRM-HL" presented at the AIAA AVIATION FORUM 2024.

June 2024: Check our last paper “Limits to extreme event forecasting in chaotic systems” published in Physica D: Nonlinear Phenomena. Congratulations Yuan!

June 2024: Our new pre-print on “Machine-learning wall-model large-eddy simulation accounting for isotropic roughness under local equilibrium” is out!

May 2024: Check our new pre-print on “Decomposing causality into its synergistic, unique, and redundant components”!

Apr 2024: Adrian presented our work on “Causal inference in complex physical systems“ at the CSE Seminar Series from MIT. Check the abstract here.

Apr 2024: The proceedings for the 5th Madrid Turbulence Workshop on “Causality between streaks and bursts in wall- bounded turbulence“, “Are the dynamics of wall turbulence in minimal channels and larger domain channels equivalent? A graph-theoretic approach “ and “Forgetfulness of turbulent energy cascade associated with different mechanisms” are out!

Apr 2024: Adrian presented his work on “Building-block Flow Model for Computational Fluids“ at the CSE Seminar Series, hosted by the School of Interactive Computing in Georgia Tech. Check the abstract here.

Apr 2024: Gonzalo presented his work on “Building-block-flow model for large-eddy simulation: application to a smooth body separated flow“ at 14th edition of the Workshop Series on Direct and Large Eddy Simulation (DLES), in Erlangen, Germany.

Apr 2024: Adrian presented “Causal inference in complex physical systems“ at MIT CSE Community Seminar. Check the abstract here.

Mar 2024: Adrian presented his work on “Building-block Flow Model for Computational Fluids“ at the MIT Gas Turbine Laboratory Seminar. Check the abstract here.

Mar 2024: Check our new pre-print on “Building-block flow model for computational fluids”.

Feb 2024: Our new pre-print on “Informative and non-informative decomposition of turbulent flow fields” is out.

Feb 2024: Check our new pre-print on “The coherent structure of the energy cascade in isotropic turbulence”!

Jan 2024: Our new pre-print on “Limits to extreme event forecasting in chaotic systems” is out.

View all announcements here.


Featured Publications

Á. Martínez-Sánchez, G. Arranz, A. Lozano-Duran, Decomposing causality into its synergistic, unique, and redundant components, Nat. Commun. 15, 9296 (2024).

G. Arranz, Y. Ling, S. Costa, K. Goc, and A. Lozano-Duran. “Building-block-flow computational model for large-eddy simulation of external aerodynamic applications”, Communications Engineering 3:127, 2024.

A. Lozano-Durán and H. J. Bae, “Machine-learning building-block-flow wall model for large-eddy simulation“, J. Fluid Mech., 963, A35 , 2023.

A. Lozano-Durán, G. Arranz, ’’Information-theoretic formulation of dynamical systems: causality, modeling, and control”, Physical Review Research, 2022.

Y. Yuan and A. Lozano-Duran, Limits to extreme event forecasting in chaotic systems, Physica D., 467, 134246, 2024.

A. Towne, S. T. M. Dawson, G. A. Brès, A. Lozano-Durán, T. Saxton-Fox, A. Parthasarathy, A. R. Jones, H. Biler, C.-A. Yeh, H. D. Patel, and K. Taira, “A Database for Reduced-Complexity Modeling of Fluid Flows“, AIAA J., 2023

View all publications here.